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Invited Paper Session

NBR: Advancing Long-COVID Research through Novel Method Development and Collaboration

Wed, Aug 5, 2:00 PM - 3:50 PM Room CC-210C Thomas M. Menino Convention & Exhibition Center

Haley HedlinOrganizerMaria Montez-RathChair

WNAR co: Biometrics Sectionco: Section on Statistical Consulting Applied

6 Presentations

Statistical challenges in Long COVID research: An introduction to RECOVER

2:05 PM - 2:20 PM

Andrea Foulkes (Massachusetts General Hospital)

Long COVID Biostatistics Cohort studies Longitudinal data

Penalized regression with negative-unlabeled data: An approach to developing a Long COVID research index

2:20 PM - 2:35 PM

Tanayott Thaweethai (Massachusetts General Hospital, Biostatistics Center)

Long COVID chronic disease negative-unlabeled data penalized regression Lasso

Repeated auxiliary variable-dependent sampling in observational studies with application to Long COVID research

2:35 PM - 2:50 PM

Harrison Reeder

Transfer learning method for improved estimation of long COVID effect on Brain MRI outcomes

2:50 PM - 3:05 PM

Xuan Wang (University of Utah)

causal estimation

New Statistical Approaches for Revealing Chest CT Phenotypes and Persistent Respiratory Symptoms in RECOVER

3:05 PM - 3:20 PM

Ming Wang (Case Western Reserve University)

Co-authors: Jeffrey Albert (Case Western Reserve University), Mireya Diaz

latent class analysis

Modeling the relationship between autonomic dysfunction, ME/CFS-like symptoms, and clinical lab value and Long COVID in children in the presence of informative sampling and participant nonresponse

3:20 PM - 3:35 PM

Suneeta Godbole (Stanford University)

Co-authors: Heqiong Wang (Emory University), Yuan Gu (Stanford University), Haley Hedlin (Stanford University), Christina Mehta (Emory University), Manisha Desai (Stanford University)

Augmented inverse probability weighting

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